and process geospatial data without rage-quitting. You’ve used AWS and serverless tools, and ideally haven’t cursed too loudly while doing so. You’re familiar with Docker, Anaconda/Conda, and ideally Node.js (or at least know what they are). You like solving real-world problems using real-world tools (and not just fiddling with yet another More ❯
Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to … sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at . Summary Anaconda is seeking a talented Product Manager, Desktop Experience … intelligence, and machine learning. You'll be responsible for our flagship desktop product that serves millions of Python developers and data scientists worldwide, driving the integration of our classic Anaconda Navigator with cutting-edge local AI capabilities. What You'll Do Lead the product strategy and roadmap for Anaconda Desktop, balancing the needs of traditional data science workflows with modern More ❯
predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able to demonstrate … languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The More ❯
